Scientific Performance Audit and Convergence Metrics
This report serves as the official scientific audit for MoeaBench v0.8.0. The objective is to validate and calibrate the numerical integrity and topological fidelity of the framework's core algorithms against established mathematical benchmarks (Ground Truth).
N=200.1000 generations.M=3 objectives for volumetric analysis.The Quality Score $Q$ is calculated by normalizing raw metrics against two strict baselines: the Optimal Uniform Sampling ($U_{ref}$) and a Random Sampling ($R_{ref}$) of the Ground Truth.
Certification Terciles: The final verdict is determined by the minimum quality across all 5 dimensions (Weakest Link Principle).
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.3076 | 3.1689e-01 ± 1.4e+00 | 1.6218e-02 ± 9.9e-03 | 0.0604 | 1.3185 | 0.9906 | 99.09% | 117.98 | Gen 500 |
| NSGA2 | 0.0493 | 2.4803e-01 ± 1.5e+00 | 4.3729e-02 ± 2.3e-01 | 0.0554 | 1.3310 | 1.0000 | 100.02% | 87.18 | Gen 300 |
| NSGA3 | 0.0298 | 1.4113e-02 ± 2.0e-03 | 2.7772e-03 ± 9.2e-03 | 0.0543 | 1.2642 | 0.9498 | 99.73% | 13.09 | Gen 200 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.95 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA2 | 0.96 | 0.36 | 0.90 | 0.93 | 0.96 | Low Cov | 30 | INDUSTRY |
| NSGA3 | 0.96 | 0.00 | 0.84 | 0.00 | 0.69 | Low Cov, Irregular | 30 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0394 | 1.8089e-02 ± 8.2e-04 | 8.2981e-03 ± 8.8e-03 | 0.0991 | 0.7739 | 0.5815 | 97.11% | 118.74 | Gen 100 |
| NSGA2 | 0.0312 | 1.8039e-02 ± 8.3e-04 | 1.6873e-02 ± 9.1e-03 | 0.0929 | 0.8311 | 0.6244 | 97.46% | 80.07 | Gen 100 |
| NSGA3 | 0.0398 | 1.6911e-02 ± 1.4e-04 | 7.1919e-03 ± 8.7e-03 | 0.0991 | 0.7663 | 0.5757 | 96.90% | 13.27 | Gen 100 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.94 | 0.00 | 0.66 | 0.00 | 0.58 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA2 | 0.94 | 0.18 | 0.86 | 0.93 | 0.88 | Low Cov | 30 | FAIL |
| NSGA3 | 0.95 | 0.00 | 0.66 | 0.00 | 0.62 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.5402 | 1.6522e+00 ± 1.1e+00 | 2.1422e-01 ± 2.8e-02 | 2.2393 | 1.2829 | 0.9639 | 96.56% | 112.82 | Gen 1000 |
| NSGA2 | 0.5989 | 2.3090e+00 ± 1.4e+01 | 1.5829e-01 ± 8.7e-01 | 0.0975 | 1.3310 | 1.0000 | 100.00% | 84.55 | Gen 400 |
| NSGA3 | 0.4198 | 5.4060e-01 ± 1.7e+00 | 1.6181e-01 ± 5.1e-01 | 0.1087 | 1.3309 | 0.9999 | 99.99% | 12.43 | Gen 600 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.00 | 0.00 | 0.50 | 0.00 | 0.14 | Poor Fit, Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA2 | 0.94 | 0.35 | 0.90 | 0.98 | 0.93 | Low Cov | 30 | INDUSTRY |
| NSGA3 | 0.94 | 0.08 | 0.75 | 0.26 | 0.76 | Low Cov, Irregular | 30 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0349 | 1.8882e-02 ± 1.3e-03 | 1.3461e-02 ± 7.7e-03 | 0.0807 | 0.7705 | 0.5789 | 97.98% | 112.80 | Gen 100 |
| NSGA2 | 0.0326 | 1.7482e-02 ± 6.3e-04 | 1.8044e-02 ± 8.7e-03 | 0.1092 | 0.8314 | 0.6247 | 97.26% | 77.83 | Gen 100 |
| NSGA3 | 0.0398 | 1.6920e-02 ± 4.3e-04 | 7.2102e-03 ± 8.7e-03 | 0.1085 | 0.7718 | 0.5799 | 97.06% | 12.55 | Gen 100 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.94 | 0.23 | 0.79 | 0.82 | 0.86 | Low Cov | 30 | FAIL |
| NSGA2 | 0.94 | 0.12 | 0.85 | 0.93 | 0.94 | Low Cov | 30 | FAIL |
| NSGA3 | 0.94 | 0.00 | 0.67 | 0.00 | 0.63 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0068 | 6.5874e-04 ± 3.8e-04 | 5.2277e-03 ± 8.3e-03 | 0.0476 | 0.4206 | 0.3160 | 98.91% | 111.16 | Gen 100 |
| NSGA2 | 0.0019 | 7.9038e-04 ± 1.9e-04 | 1.7806e-03 ± 1.3e-03 | 0.0317 | 0.2691 | 0.2022 | 99.65% | 82.41 | Gen 300 |
| NSGA3 | 0.0038 | 4.9039e-04 ± 3.3e-05 | 2.6192e-03 ± 2.2e-03 | 0.0951 | 0.2692 | 0.2023 | 99.16% | 11.83 | Gen 100 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA2 | 1.00 | 0.87 | 0.99 | 1.00 | 0.86 | Optimal | 30 | RESEARCH |
| NSGA3 | 1.00 | 0.86 | 0.91 | 0.90 | 0.91 | Optimal | 30 | RESEARCH |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0560 | 8.9077e-02 ± 2.6e-02 | 1.5905e-02 ± 1.2e-02 | 0.0773 | 0.6251 | 0.4696 | 93.81% | 112.39 | Gen 200 |
| NSGA2 | 0.1586 | 2.0389e-01 ± 5.9e-01 | 1.0132e-02 ± 1.7e-02 | 0.0507 | 1.2665 | 0.9516 | 99.07% | 76.78 | Gen 400 |
| NSGA3 | 0.1930 | 2.4915e-01 ± 6.0e-01 | 1.6877e-02 ± 1.8e-02 | 0.1609 | 1.2459 | 0.9360 | 98.39% | 14.64 | Gen 600 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.85 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA2 | 0.92 | 0.00 | 0.00 | 0.00 | 0.15 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA3 | 0.82 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0928 | 2.2038e-02 ± 1.7e-03 | 0.0000e+00 ± 0.0e+00 | 0.5207 | 0.0000 | 0.0000 | 0.00% | 10.00 | Gen 200 |
| NSGA2 | 0.0340 | 2.0875e-02 ± 3.9e-03 | 3.4321e-02 ± 4.3e-03 | 0.0807 | 0.6885 | 0.5173 | 96.53% | 76.05 | Gen 200 |
| NSGA3 | 0.1128 | 2.2767e-02 ± 6.6e-03 | 0.0000e+00 ± 0.0e+00 | 0.0743 | 0.0000 | 0.0000 | 0.00% | 10.00 | Gen 300 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.81 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA2 | 0.91 | 0.00 | 0.00 | 0.06 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA3 | 0.92 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| NSGA2 | 840.6049 | 8.4035e+02 ± 1.0e+03 | 1.1544e-03 ± 2.2e-03 | 0.2981 | 0.7990 | 0.6003 | 60.03% | 30.89 | Gen 500 |
| NSGA3 | 0.0490 | 1.6853e-02 ± 9.9e-04 | 1.7490e-02 ± 1.7e-03 | 0.0187 | 0.9724 | 0.7306 | 94.99% | 15.26 | Gen 500 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| NSGA2 | 0.17 | 0.00 | 0.00 | 0.00 | 0.00 | Poor Fit, Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA3 | 0.94 | 0.00 | 0.00 | 0.08 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| NSGA2 | 1730.8555 | 1.7308e+03 ± 0.0e+00 | 0.0000e+00 ± 0.0e+00 | 999.3098 | 0.0010 | 0.0008 | 0.08% | 12.75 | Gen 100 |
| NSGA3 | 0.2067 | 6.6958e-02 ± 6.7e-03 | 8.3061e-03 ± 1.0e-03 | 0.2184 | 0.1461 | 0.1098 | 54.21% | 15.08 | Gen 500 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| NSGA2 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | Poor Fit, Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA3 | 0.79 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.3479 | 3.1650e-01 ± 9.8e-01 | 5.1073e-03 ± 2.4e-03 | 0.0773 | 1.2175 | 0.9147 | 94.40% | 117.58 | Gen 500 |
| NSGA2 | 0.0051 | 2.3259e-02 ± 1.4e-01 | 1.3109e-03 ± 3.0e-03 | 0.0039 | 1.1720 | 0.8805 | 99.83% | 82.37 | Gen 400 |
| NSGA3 | 0.0937 | 9.7682e-02 ± 4.5e-01 | 1.6700e-03 ± 1.3e-03 | 0.0421 | 1.2042 | 0.9048 | 97.41% | 12.23 | Gen 400 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA2 | 1.00 | 0.97 | 0.97 | 0.94 | 1.00 | Optimal | 30 | RESEARCH |
| NSGA3 | 1.00 | 0.51 | 0.58 | 0.91 | 0.62 | Low Cov, Low Density, Imbalanced | 30 | INDUSTRY |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.9019 | 4.0960e-05 ± 4.5e-07 | 3.5453e-03 ± 8.4e-06 | 1.7520 | 0.1921 | 0.1443 | 49.90% | 115.59 | Gen 100 |
| NSGA2 | 0.0017 | 1.2828e-04 ± 2.0e-05 | 1.0080e-02 ± 8.1e-03 | 0.2612 | 0.3841 | 0.2886 | 99.72% | 72.52 | Gen 100 |
| NSGA3 | 0.0031 | 1.2220e-04 ± 1.5e-05 | 1.4596e-02 ± 1.2e-02 | 0.5447 | 0.3844 | 0.2888 | 99.54% | 13.38 | Gen 200 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA2 | 1.00 | 0.96 | 0.98 | 0.92 | 1.00 | Optimal | 30 | RESEARCH |
| NSGA3 | 1.00 | 0.93 | 0.96 | 0.90 | 0.97 | Optimal | 30 | RESEARCH |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0238 | 2.7892e-03 ± 8.8e-04 | 4.2399e-03 ± 9.4e-03 | 0.0000 | 0.7761 | 0.5831 | 97.65% | 115.10 | Gen - |
| NSGA2 | 0.0016 | 3.0564e-03 ± 1.2e-04 | 2.0067e-03 ± 1.4e-03 | 0.2831 | 0.7945 | 0.5969 | 100.22% | 75.93 | Gen 800 |
| NSGA3 | 0.0042 | 3.1938e-03 ± 1.6e-04 | 3.0014e-03 ± 2.3e-03 | 0.3242 | 0.7982 | 0.5997 | 99.99% | 12.23 | Gen 100 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.99 | 0.00 | 0.00 | 0.06 | 0.61 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA2 | 0.99 | 0.81 | 0.89 | 0.84 | 0.88 | Optimal | 30 | RESEARCH |
| NSGA3 | 0.99 | 0.65 | 0.77 | 0.82 | 0.82 | Low Cov | 30 | INDUSTRY |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.5025 | 1.4101e-01 ± 7.8e-01 | 8.9064e-04 ± 1.6e-03 | 0.1243 | 0.6949 | 0.5221 | 53.27% | 121.37 | Gen 300 |
| NSGA2 | 0.0044 | 2.4544e-02 ± 1.5e-01 | 3.3861e-03 ± 3.4e-03 | 0.0128 | 1.1632 | 0.8739 | 99.64% | 82.92 | Gen 200 |
| NSGA3 | 0.0233 | 1.8991e-02 ± 1.2e-01 | 1.3051e-02 ± 4.9e-02 | 0.0426 | 1.3061 | 0.9813 | 99.68% | 12.23 | Gen 200 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | Low Cov, Low Density, Irregular, Imbalanced | 5 | FAIL |
| NSGA2 | 1.00 | 0.98 | 0.98 | 0.92 | 1.00 | Optimal | 30 | RESEARCH |
| NSGA3 | 1.00 | 0.58 | 0.37 | 0.54 | 0.24 | Low Cov, Low Density, Irregular, Imbalanced | 30 | FAIL |
| Algorithm | IGD (Mean ± Std) | GD (Mean ± Std) | SP (Mean ± Std) | EMD (Wasserstein) | H_raw | H_ratio | H_rel | Time(s) | Stabil. |
|---|---|---|---|---|---|---|---|---|---|
| MOEAD | 0.0304 | 6.7792e-03 ± 1.4e-04 | 1.6212e-02 ± 2.0e-02 | 0.1130 | 0.7066 | 0.5309 | 96.80% | 113.39 | Gen 100 |
| NSGA2 | 0.0142 | 9.1868e-03 ± 4.9e-03 | 2.0535e-02 ± 8.9e-03 | 0.1094 | 1.1082 | 0.8326 | 99.13% | 81.79 | Gen 100 |
| NSGA3 | 0.0239 | 6.2888e-03 ± 1.8e-04 | 1.8744e-02 ± 1.0e-02 | 0.2093 | 0.7885 | 0.5924 | 97.87% | 12.51 | Gen 200 |
Visual Semantics: Filled points mark solutions close to the Ground Truth, while hollow markers highlight points that remain far from the GT surface.
Clinical certification is aggregated over all available standard_runXX files for each algorithm. The scores represent normalized Quality: 1.0 (Optimal) to 0.0 (Random).
| Algorithm | FIT | COVERAGE | DENSITY | REGULARITY | BALANCE | SUMMARY | RUNS | CERTIFICATION |
|---|---|---|---|---|---|---|---|---|
| MOEAD | 1.00 | 1.00 | 0.00 | 0.00 | 0.59 | Low Density, Irregular, Imbalanced | 30 | FAIL |
| NSGA2 | 1.00 | 0.01 | 1.00 | 0.85 | 0.92 | Low Cov | 30 | FAIL |
| NSGA3 | 1.00 | 1.00 | 0.75 | 0.47 | 0.89 | Irregular | 30 | INDUSTRY |